Crack growth rate parameters of the Paris equation are crucial inputs in the engineering critical assessment (ECA) of structures containing flaws. In fracture mechanics based reliability analysis, probabilistic models of these parameters are often used. Despite the considerable body of research in this area, there is significant variability among available models. This paper reviews the current available models in the literature and addresses areas requiring further research with a view to assisting probabilistic flaw assessment. The effect of the existing variability in crack growth model parameters is investigated by fracture mechanics analysis of a case study crack
International audienceA probabilistic model is developed to investigate the crack growth development...
Crack growth models are typically calibrated using experimental data prior to conducting damage tole...
Uncertainty propagation of fatigue crack growth life commonly aims to provide the probability distri...
Probabilistic fracture mechanics (PFM)-based crack growth assessment in load-bearing components has ...
A method for incorporating probabilistic considerations into fatigue life prognosis based on experim...
In this study probabilistic methods of the fracture mechanics are applied to integrity assessment of...
The Probabilistic Fracture Mechanics (PFM) is a promising method for estimating the fatigue life and...
The crack growth rate during cyclic loading is investigated via numerical simulations. The crack adv...
Fatigue crack growth is a stochastic phenomenon due to the uncertainties factors such as material pr...
Fatigue is an important failure mode in offshore jacket platforms. To evaluate the fatigue damage, t...
The objective of this paper is to recognize the probabilistic distribution of crack growth and stres...
The basic fatigue crack growth is important consideration in structural design and constrained opera...
Failure starts with creation of a crack, then the propagation of the crack and eventually the fractu...
Comparison of two and three parameters models of fatigue crack growth is discussed. For calculation ...
Fatigue life or crack growth predictions that use information from crack inspections have been appli...
International audienceA probabilistic model is developed to investigate the crack growth development...
Crack growth models are typically calibrated using experimental data prior to conducting damage tole...
Uncertainty propagation of fatigue crack growth life commonly aims to provide the probability distri...
Probabilistic fracture mechanics (PFM)-based crack growth assessment in load-bearing components has ...
A method for incorporating probabilistic considerations into fatigue life prognosis based on experim...
In this study probabilistic methods of the fracture mechanics are applied to integrity assessment of...
The Probabilistic Fracture Mechanics (PFM) is a promising method for estimating the fatigue life and...
The crack growth rate during cyclic loading is investigated via numerical simulations. The crack adv...
Fatigue crack growth is a stochastic phenomenon due to the uncertainties factors such as material pr...
Fatigue is an important failure mode in offshore jacket platforms. To evaluate the fatigue damage, t...
The objective of this paper is to recognize the probabilistic distribution of crack growth and stres...
The basic fatigue crack growth is important consideration in structural design and constrained opera...
Failure starts with creation of a crack, then the propagation of the crack and eventually the fractu...
Comparison of two and three parameters models of fatigue crack growth is discussed. For calculation ...
Fatigue life or crack growth predictions that use information from crack inspections have been appli...
International audienceA probabilistic model is developed to investigate the crack growth development...
Crack growth models are typically calibrated using experimental data prior to conducting damage tole...
Uncertainty propagation of fatigue crack growth life commonly aims to provide the probability distri...